plotly-dash
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Jul 9, 2022 - JavaScript
Most items coming from questions on the community forum
- a proper multicategory bar example based on https://community.plotly.com/t/multicategory-axis-type-example/26392
- example of shape or annotation covering several subplots thanks to
xref='paper'. Also the shapes and annotations tutorial should link to each other. - orthographic projection example in 3d axes tutorial (or
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Jul 5, 2022 - TypeScript
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Jul 5, 2022 - Jupyter Notebook
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Jul 8, 2021 - Python
Dash 2.1.0 added shorthand support for dcc.Dropdown, dcc.Checklist and dcc.RadioItems. It would be good to support the same syntax with dbc.Select, dbc.Checklist and dbc.RadioItems respectively.
See community post and [corresponding pull request](https://github.com/plotly/da
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Jun 28, 2022 - Python
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Dec 6, 2019 - Python
Sample code
Please checkout how the sample test cases in:
References
Get started with testing python
Write Professional Unit Tests in Python
Web Automation Tests with Selenium
Crypto vs fiat
It would be really interesting see a single chart that shows all crypto-fiat pairs on a single chart. The axes would need to be converted into a single domain like implied BTC market price and order value in USD to make them all accessible on a single plot, but the larger data set might give a clearer picture of the overall status of the market.
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Mar 29, 2018 - Python
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Jul 9, 2022 - Python
Hi,
I'm new to plotly dash and I've googled but I don't see a way to make a filter a dropdown akin to excel filters.
I've seen people do "hacks" but this should be the default behaviour out of the box (or at least a setting).
I'm currently evaluating plotly dash vs tools such as metabase and metabase has this out of the box.
From a UX pov, filters with a dropdown is a huge win and impo
Hi,
It would be nice to have the capability to expand/collapse nodes similar to https://github.com/iVis-at-Bilkent/cytoscape.js-expand-collapse.
Thanks.
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May 29, 2022 - Less
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May 21, 2022 - JavaScript
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Jun 20, 2022 - Julia
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May 21, 2022 - Python
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May 19, 2020 - Python
It appears that if one uses the dcc.Upload.contents property for triggering callback, it fails when the user tries to upload the same file again, due to the content is the same.
I would imagine that a property similar to n_clicks should be provided to trigger callback on each upload event.
Versions:
dash 1.12.0
dash-core-components 1.10.0
dash-html-compone
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Oct 15, 2020 - Python
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